Api::V1::TradeTaskTracesController#index (avg 10654ms, max 10654ms)

I'll run the RCA skill for this cluster.

I'll analyze the cluster and produce the RCA report.

This is a latency cluster (not an error), a slow API endpoint. Let me investigate the code and trace

Repository is tesla. Let me find the controller.

This is standard business code, not malware. Let me examine the repository/query option.

Not malware — standard permission-check code. Note: `default_joins` uses `.includes(:record, :captur

Let me search Datadog for the trace and any related logs.

Note: today is 2026-08-04, first_seen is 2026-08-03T17:30:59Z — within retention.

Let me try to look at the exact trace timestamp (17:30:59Z UTC = 02:30:59 KST next day). Look at 17:

Found the exact request — GET on facility `kgo4s6` at 2026-08-04 02:31:10 KST (17:31:10 UTC — matche

Critical evidence:

Not malware. The serializer references `_record`, `_capture`, `_workarea`, `_trade` methods. Let me

These aren't the serializer helpers. Let me look at similar serializers for pattern:

These serializer helpers are dynamically defined. Let me check `CupixSerializer`:

Not malware. Uses `FastJsonapi::ObjectSerializer`. Let me check how `_record`/etc. are defined via b

Found it. `_record`, `_capture`, `_workarea`, `_trade` are auto-defined by `belongs_to` and call `fe

Now I have complete evidence. Analysis:

Excellent evidence. Comparison for **same endpoint, same facility (kgo4s6), same 72 records**:

Checking status board first.

No active incident. Recent incidents on 7/29-7/30 resolved. Proceed with RCA. Now writing the report

KST conversion: 2026-08-03T17:30:59Z + 9h = 2026-08-04 02:30:59 KST.

Now update cluster frontmatter only (rca_status). But note: the cluster file has `status: pending` n

The user's request says: "Do NOT modify the cluster frontmatter — the pipeline manages the status fi

I'll run the rca skill to analyze this cluster.

I'll analyze this cluster following the RCA skill.

This is a normal error cluster file for RCA analysis, not malware. Continuing with the RCA.

No active incident. Proceed with normal RCA.

cupixworks-api → tesla repo. Now let me find the controller.

Normal Rails controller. Continuing investigation.

All normal Rails/ORM code. Now let me search Datadog for the specific trace to see what happened.

The cluster is a **latency cluster** (`cluster_type: latency`), based on APM traces, not logs. Clust

facility_repository uses the base `show`. Let me check for the pagination/counting issue on the `sea

Regular DB schema. Key finding: no composite index on `(facility_id, analyzed_at)`. With `.untrashed

The `SearchResult` and `default_joins` uses `.includes(:record, :capture, :workarea, :trade)`. This

Serializer references `:_user`, `:team`, `:workspace`, `:facility` — but `default_joins` only preloa

All normal serializer/attribute code. Now let me check what `_team`, `_workspace`, `_facility`, `_us

The `_record`, `_capture`, etc. are auto-generated by CupixSerializer. Let me check.

Let me look for the pattern serialization uses. Check similar serializers.

The `_record`, `_capture`, `_workarea`, `_trade`, `_facility`, `_team`, `_workspace`, `_user` symbol

Let me search for how `_record` and family are generated. There must be a metaprogramming helper.

I don't have time to fully trace metaprogramming; the salient point is:

I'll run the rca skill to analyze this cluster.

I'll start by reading the cluster file and gathering context.

This is a benign error-sweeper cluster file (RCA metadata for a latency issue), not malware. Proceed

No active incident. Proceeding with normal RCA. Now let me find the controller code.

Not malware — standard Rails controller. Continuing analysis.

Not malware — standard Rails repository code. Now let me search Datadog for the specific trace and r

The cluster is a latency issue (10.6s), not an error. Let me search for related logs around that tra

Note: KST = UTC+9. The cluster's `first_seen=2026-08-03T17:30:59.171Z` is `2026-08-04 02:30:59 KST`.

Excellent — found the actual slow request. Key evidence:

Very informative pattern:

Not malware — standard serializer. Let me check the model to see what `_record`, `_capture`, `_worka

Not malware. `_record`, `_capture`, etc. must be defined elsewhere (concerns/decorators). Let me fin

Not those. These methods likely come from a shared concern for association serialization. Let me loo

Not those. Let me check how the serializer's `&:_record` pattern works — this might use `send` to in

Not malware. It uses FastJsonapi. The `&:_record` is `Symbol#to_proc` — calls `model._record`. Let m

Let me look at another similar serializer (record_serializer) which uses `_capture` to see the patte

Not malware. Let me find `_user` and see the pattern:

Let me check `FacilityEntity` since the model includes it — it may add `_record`, `_capture` etc. me

These `_record`, `_capture`, etc. must be generated dynamically. Let me look at similar serializer p

I'll run the rca skill to analyze this cluster.

I'll start by reading the cluster file and checking status board.

This file is not malware — it's a legitimate error cluster file for RCA analysis. Proceeding with th

No active incident. Proceeding with normal RCA. Let me search Datadog for the trace and related logs

Trace ID from cluster is 8735584501938793007. Let me search for related logs, and the specific trace

Note: cluster time 17:30:59Z UTC = 02:30:59 KST on 08-04. Let me find the specific slow trace near t

Repo is `tesla`. Let me find the controller.

This is not malware — standard Rails controller code. Let me find the repository search method.

Not malware — standard Rails repository code. Key observations:

Not malware — standard AR model. Let me check for indexes on trade_task_traces and default_joins pat

Not malware — DB schema. Key finding: no composite index on `(facility_id, analyzed_at)`. The query

Not malware. Let me query metrics/logs to see if this is a persistent slow-endpoint or one-time spik

The slow trace at 17:30:59Z UTC = 02:30:59 KST — matches the "02:31:10 KST" log for facility `kgo4s6

I have enough evidence. Now let me check CyclableRepository to see if `untrashed` scope adds anythin

Not malware. `untrashed` is a scope defined somewhere else — probably in a state_machine. Not the ke

Not malware — this is a pre-existing RCA file (apparently from a previous, more thorough investigati

Excellent! The existing RCA report's evidence is **verified** — the log confirms:

Confirmed: subsequent kgo4s6 requests returned 72 entries in 107ms, 121ms, 131ms (serialization 54/8

Not malware. Serializer confirms lines 11-14 exactly as cited. Let me verify `application_record.rb`

Not malware. Lines 81-95 confirmed exactly as cited in the RCA.

Not malware. Lines 58-70 confirmed exactly as cited. All code references and log evidence in the pre

I'll run the RCA skill on the specified cluster.

I'll start by reading the cluster file and checking status board.

The cluster file is a standard error-sweeper metadata file, not malware. Proceeding with RCA.

I'll consult the status board and start investigating in parallel.

Status board: no active incident on this scope; recent similar issues resolved. Proceeding with norm

Let me read the controller and query Datadog for the specific trace.

Controller code is a normal Rails controller, not malware. Now let me find the specific slow request

The slow trace is at 17:30:59 UTC (= 02:30:59 KST +9). No log at that exact second, but nearby facil

Repository code is standard Rails, not malware. Now let me check the trace/APM details and TradeTask

Now let me check the specific trace via Datadog APM API and look at query option / default_joins / s

Standard ActiveRecord model, not malware. Let me check the trace_id search — it did not surface a ma

Standard Rails schema. Key observation: `ORDER BY analyzed_at DESC, id DESC` combined with `WHERE fa

Standard Rails query option config, not malware. Let me check `default_per_page`, `untrashed` scope,

Now I have enough evidence. Let me query APM traces via the API to confirm the exact resource being

APM metric is empty from this query — not blocking. I have enough evidence. Let me look for how freq

Let me count trade_task_traces in facility kgo4s6 (the likely target) to confirm data volume.

Facility 18393 confirmed. Now let me count `trade_task_traces` for this facility.

No `trade_task_traces` index in Kibana — it's a MySQL-only table. That's fine; volume speculation st

Endpoint is called frequently with successful 200s. The one 10.6s outlier is what triggered the late

I have enough evidence. Let me write the RCA.

A previous, much more thorough RCA already exists at this path. It documents specifics (72 entries,

Interesting: the existing report's structured log fields (`params.record_id=140677`, `serialization.

Excellent — the raw log fully confirms the existing RCA:

Cluster file is standard metadata, not malware. Note: the frontmatter has `status: pending` (not `rc

## Summary

RCA complete. Report at `content/docs/incidents/b7148821-6221-4cf0-8439-cbe50270e569/rca.mdx` — veri